EAGER: Exploring Magnetic Communications for Challenging Environments
EAGER: Exploring Magnetic Communications for Challenging Environments
批准号:
1844944
负责人:
Krishna Kant
金额:
$9.4万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2023-03-31
中文摘要
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英文摘要
Magnetic Induction (MI) refers to the phenomenon where a current passed through a transmitter coil induces a current in a receiver coil that is separated by a short distance from the transmitter coil and is tuned to the same resonance frequency. MI can also be used to carry information by modulating the current. Unlike radio frequency (RF) communication, MI-based communication can provide several benefits such as low energy use, ability to work reliably in a variety of difficult propagation media (e.g., fresh/sea water, non-ferromagnetic metals, underground, etc.), and low leakage possibility because of fast decay of the signal with distance. Furthermore, since the MI technology is useful for efficient power transfer as well, it provides the possibility of passive tagging as well. MI technology is currently not well explored, and there are no commercial circuit boards that can be flexibly configured for experimentation. The primary purpose of this project is to develop relatively inexpensive MI-based transceiver boards and use them to explore the use of MI technology in several emerging applications, particularly those in the emerging smart infrastructure context.The project will develop circuit boards for MI-based communications to support experimental research into this technology. The boards will provide flexible control of the operational frequency, coil size, and operating voltage. The project will experimentally explore the range, power consumption, robustness of the MI communications through a variety of media to enhance the understanding of the merits and limitations of the technology. It will also explore the Multiple-Input, Multiple-Output (MIMO) capabilities in this setup for increasing data rates, and techniques to increase the range. By building several MI communications boards, the project will explore their use in several applications including on-line monitoring and tracking of fresh food supply chain, automated identification of MI tagged items in the smart shopping context and online monitoring of soil in the smart agriculture context. Each of these applications has a unique set of characteristics and requirements and thus can provide a comprehensive experimental evaluation of MI-based communications. The project will also enable other researchers to use our design and boards to further explore the MI technology for a variety of other smart infrastructure applications of societal importance.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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DOI:
10.1145/3360726
发表时间:
2020-01
期刊:
ACM Transactions on Sensor Networks (TOSN)
影响因子:
--
作者:
[Amitangshu Pal;K. Kant]
通讯作者:
Amitangshu Pal;K. Kant
DOI:
10.1109/tbme.2021.3130408
发表时间:
2022-06-01
期刊:
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
影响因子:
4.6
作者:
[Islam,Sayemul, Gulati,Rajpreet Kaur, Kim,Albert]
通讯作者:
Kim,Albert
DOI:
10.1109/wcnc.2019.8885541
发表时间:
2019-04
期刊:
2019 IEEE Wireless Communications and Networking Conference (WCNC)
影响因子:
--
作者:
[R. K. Gulati;Amitangshu Pal;K. Kant]
通讯作者:
R. K. Gulati;Amitangshu Pal;K. Kant
DOI:
10.1109/icccn.2019.8847145
发表时间:
2019-07
期刊:
2019 28th International Conference on Computer Communication and Networks (ICCCN)
影响因子:
--
作者:
[Amitangshu Pal;R. K. Gulati;K. Kant]
通讯作者:
Amitangshu Pal;R. K. Gulati;K. Kant
Ultrasonic vs. Magnetic Resonance Communication for Mixed Wearable and Implanted Devices
混合可穿戴设备和植入设备的超声波与磁共振通信
DOI:
10.1109/icc45855.2022.9838598
发表时间:
2022
期刊:
IEEE International Conference on Communications (ICC
影响因子:
--
作者:
[Walia, Rajpreet K, Kant, Krishna, Pal, Amitangshu]
通讯作者:
Pal, Amitangshu
共 8 条
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EAGER: Magnetic Induction Based Communications for Fresh Food Distribution Monitoring
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I/UCRC Phase II: Center on Intelligent Storage
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CSR: Small: Collaborative Research: Software Defined Energy Adaptation in Large Scale Data Centers
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EAGER: Quality of Configuration in Large Scale Data Centers
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